code: def evaluate_conll(
      gold_path, predictions, subtoken_maps, official_stdout=True
  ):
      with tempfile.NamedTemporaryFile(
          delete=True, mode="w"
      ) as prediction_file:
          with open(gold_path, "r") as gold_file:
              output_conll(
                  gold_file, prediction_file, predictions, subtoken_maps
              )
          # logger.info("Predicted conll file: {}".format(prediction_file.name))
          results = {
              m: official_conll_eval(
                  gold_file.name,
                  prediction_file.name,
                  m,
                  official_stdout,
              )
              for m in ("muc", "bcub", "ceafe")
          }
      return results
  
file_path: DeepKE/src/deepke/triple_extraction/ASP/metrics/conll.py
imports: import re
  import tempfile
  import subprocess
  import operator
  import collections
  import logging
label_desc: Use image node_id 4 for calling a global function with example usage: evaluate_conll(gold_path, predictions, subtoken_maps, official_stdout) and returns: results